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whispNEP – AI Model by sunilregmi | AlphaNeural AI
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sunilregmi
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whispNEP
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
ne-NP-asr-leaderboard
generated_from_trainer
ne
spktsagar/openslr-nepali-asr-cleaned
sunilregmi/whisper_small_ne_NP
finetune
apache-2.0
endpoints_compatible
us
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whisper-Nepali-ASR Sunil Regmi
This model is a fine-tuned version of
sunilregmi/whisper_small_ne_NP
on the Openslr54 data-cleaned by spktsagar/openslr-nepali-asr-cleaned dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 500
mixed_precision_training: Native AMP
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
